Unsupervised Ship Detection in SAR Images Using Superpixels and CSPNet
Author:
Affiliation:
1. College of Electronic Science, National University of Defense Technology, Changsha, China and
2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10035974.pdf?arnumber=10035974
Reference19 articles.
1. An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images
2. Ship Classification in SAR Images Using a New Hybrid CNN–MLP Classifier
3. Superpixel Generation for SAR Imagery Based on Fast DBSCAN Clustering With Edge Penalty
4. A CenterNet++ model for ship detection in SAR images
5. Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet
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